LLM Systems Engineering: Training and Building Large Language Models – Engineering AI Models Through Fine-Tuning, Continued Pretraining, and From-Scratch Development (AI Engineering)
The AI Engineering Systems: Build, Deploy, and Scale Production AI Systems—Step-by-Step Walkthroughs Plus an Actively Maintained GitHub Repo You Can Clone and Ship
Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment
Multi-Agent Systems Engineering: Design architecture with evidence: metrics, risk gating, failure modes, and tested reference code—benchmarks, debugging, and production hardening for AI agents
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
